The document discusses using psychology in programming (PIP) and personality types to improve programming education for the 4th Industrial Revolution. It describes how individual differences among programmers are not addressed by current education systems. The author proposes a coaching-based system using psychological classifications and team-based learning to better teach programming. This new approach would help more students by accounting for differences in personality and learning styles.

1. Usage of PIP(Psychology In Programming)
for Innovative Programming Education
in the 4th Industrial Revolution
Jae Yong Lee
Professor, Hanseo University

2. Contents
• A Problem of ‘Person’ in Programming
• Usefulness of PIP(Psychology In Programming)
• Programmer’s Individual Difference (MBTI type indicator)
• New Innovative System for Programming Education
2

3. Three Approaches of Computer
Development in 1950~1970
출처 : CIO Korea 이재용 컬럼 – 4차 산업혁명시대의 프로그래밍 교육 - http://www.ciokorea.com/news/36288
3
Person
Process Technology

4. In 2000s
출처 : CIO Korea 이재용 컬럼 – 4차 산업혁명시대의 프로그래밍 교육 - http://www.ciokorea.com/news/36288 4
Person
Process :
Software
Development
Cycle, Project
Management
Technology :
OOP, Tools,
Distributed
Computing,
Network Admin.,
….

5. Goal
출처 : CIO Korea 이재용 컬럼 – 4차 산업혁명시대의 프로그래밍 교육 - http://www.ciokorea.com/news/36288 5
Person :
Influence of
Psychologies,
Team Building,
TBL, Coaching
Process :
Software
Development
Cycle, Project
Management
Technology :
OOP, Tools,
Distributed
Computing,
Network Admin.,
….

6. Programming
• 2~3 persons
• Internal work
• 100% Perfection
• Inter relationship
• Immersive environment
• Difficulty of Research
6

7. Innovation for Programming Education
• 4th Industrial Revolution
• All majors
7

8. Influence of Behavioral Psychology
• Programming Representation System
• Coding Technique
• Debugging Problem Task
– Problem Solving Process (Mayer 1992)
– Learning the Programming Language
출처 : 인지공학심리학, 박창호, 시그마프레스, 9장 8

9. Influence of Cognitive Psychology
• Knowledge Representation
– Syntactic Knowledge
• Knowledge of the relationship of individual elements to rules (INPUT,
PRINT, CLS)
– Semantic Knowledge
• Knowledge of actions that can be taken against locations, objects, and
memory (stack, memory space, program list)
– Schematic Knowledge
• Knowledge of Routine (sort, repeat, for statement)
– Strategic Knowledge
• Technology to plan and monitor (think aloud technique : measuring)
출처 : 인지공학심리학, 박창호, 시그마프레스, 9장 9

10. Influence of Other Psychologies
• Declaration of function : Archetype – Analytical Psychology
• Recursion : Self-Replication
• Mental Model
– Programming Knowledge  Mental Model
– Deep Structure  Surface Structure : Chomsky Hierarchy
• Egoless Programming
– Ego Projection
• Metaphor
– Facilitating the task execution
출처 : 인지공학심리학, 박창호, 시그마프레스, 9장 10

11. Benefits of Psychological Studying
• Coaching style (C Programming – 1 Semester / Freshman)
– 3~4 weeks : Teaching
– Flipped Learning (10 min.)
• Basic Programming
• Psychological Classification of Programming
– Team Base Learning ( 40 min.)
• 2 persons / team
• Leader  Flower
• Flower  Leader
– Freshman
• College Scholastic Ability Test : Grade 3
• 2/26  100 Line programming (one semester grade calculation)
• Health Ego
• Insight
– Metaphor
– “A-Ha” experience
출처 : 인지공학심리학, 박창호, 시그마프레스, 9장 11

12. 12
성격 유형
software life cycle stages
분
석
디
자
인
프로
그래
밍
테스
팅
유
지
보
수
외향(E) ✔
내향(I) ✔
감각(S) ✔ ✔ ✔
직관(N) ✔
사고(T) ✔ ✔
감정(F) ✔
판단(J) ✔
인식(P) ✔
출처 : Journal of Korea Convergence Society, 6(4) pp108-111,
Software Development Process Improvement Training and Collaboration Capabilities Optimized to the Psychological Type of ICT Engineer

13. Motivation Enhancement
• Mark Zuckerberg : INTJ
• Alan Musk : INTJ
• Sergey Brin : INTP
• Larry Page : INTP
• Alan Turing : INTP, ISTJ
• Steve Jobs : ENTP
• John von Neumann : ENTP
• Bill Gates : ENTJ
• Steve Wozniak : ENTJ
• Jerry Yang : ENFP
• Tim Cook : INFJ
• Jeff Bezos : ISTJ
• Jack Dorsey : ISTP
• Jonathan Ive : ISFP
• Denis Hwang : ISFP
출처 : ㈜ 어세스타 13
출처 : CIO Korea 이재용 컬럼 – IT 리더들의 성격 유형과 리더쉽 -
http://www.ciokorea.com/news/34957

14. Conclusions
14
• Now - Creativity and Teaching
• Psychological Classification for Programming.
• Current system isn’t effective for almost people.
• Coaching Style System for programming education
– MOOC and Cyber
– Programmers of Global IT company
• A workshop for Understanding the individual difference.

15. Reference
• JaeYong Lee, Software Development Process Improvement
Training and Collaboration Capabilities Optimized to the
Psychological Type of ICT Engineer, Journal of Korea
Convergence Society, 6(4), pp108-111
• 인지공학심리학, 박창호, 곽호완 저, 시그마프레스, 2007. 9.
• 이재용, 성격유형론에 입각한 컴퓨팅 사고 능력의 개인차와
심리기능별 미래교육, 정보처리학회지, 24권 2호, pp 22-30.
• CIO Korea 이재용 컬럼, 심리학과 IT 통섭, 4차 산업혁명 시대
의 프로그래밍 교육, 2017. 11.
15

16. Q & A
16
• dovejlee.blog.me
• dovejlee@gmail.com